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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 6, pp. 353-364

Improving the accuracy of carbon monoxide emission calculation in the balance method based on satellite observation data

E.V. Pashinov 1 , D.M. Ermakov 1, 2 , S.A. Vturin 1 
1 Space Research Institute RAS, Moscow, Russia
2 Kotelnikov Institute of Radioengineering and Electronics RAS, Fryazino Branch, Fryazino, Moscow Region, Russia
Accepted: 06.11.2025
DOI: 10.21046/2070-7401-2025-22-6-353-364
Algorithmic improvements to a balance methodology under development for calculating trace gas emission based on satellite monitoring of atmospheric chemical composition are described. The accuracy of integrated estimates of vertical substance exchange between the atmosphere and the underlying surface has been improved, as demonstrated by calculating carbon monoxide emissions from large forest fires and comparing them with independent model estimates. A comparison methodology previously described by the authors has been applied, and the improvements achieved in the new version of the algorithms have been demonstrated using the data sample considered earlier. The correlation between calculated and modeled values of integrated carbon monoxide emissions from 21 large forest fires has increased from 0.88 to 0.91. At the same time, the frequencies and amplitudes of negative values in the daily balance time series, which have no physical meaning and should be explained by errors (artifacts) in the balance methodology, have sharply decreased. The latter circumstance has independent significance in the broader context of practical applications, since in the future the balance method being developed is planned to be used, in particular, for calculating the integrated emission/absorption of various gas components in the territory of Russia and neighboring states, individual regions and administrative-territorial units.
Keywords: balance method, carbon monoxide emission, satellite monitoring, forest fires
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References:

  1. Bril A. A., Konstantinova A. M., Loupian E. A., Burtsev M. A., Capabilities of IKI-Monitoring Shared Use Center operation with satellite monitoring-based trace gas component data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 5, pp. 85–95 (in Russian), DOI: 10.21046/2070-7401-2023-20-5-85-95.
  2. Vturin S. A., Viewflow, Certificate of state registration of computer program No. 2023680977 (RU), Reg. 09.10.2023.
  3. Ermakov D. M., Pashinov E. V., Kuz’min A. V. et al., The concept of calculating the elements of the regional hydrological balance with the use of satellite radiothermovision, Hydrometeorology and Ecology, 2023, No. 72, pp. 470–493 (in Russian), DOI: 10.33933/2713-3001-2023-72-470-492.
  4. Ermakov D. M., Pashinov E. V., Lozin D. V. et al., Accuracy of calculating carbon monoxide emissions from large forest fires using the balance technique based on satellite monitoring data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 6, pp. 143–155 (in Russian), DOI: 10.21046/2070-7401-2024-21-6-143-155.
  5. Loupyan E. A., Proshin A. A., Burtsev M. A. et al., Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 3, pp. 151–170 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-151-170.
  6. Matveev A. V., Bartalev S. A., A comparative analysis of wildfire carbon emissions estimates in Russia according to global inventories, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 4, pp. 141–161 (in Russian), DOI: 10.21046/2070-7401-2024-21-4-141-161.
  7. Pashinov E. V., Vturin S. A., Ermakov D. M., Sadovskiy I. N., Development of a methodology for balance calculations of greenhouse gas emissions based on satellite monitoring data using the example of large forest fires, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 6, pp. 313–325 (in Russian), DOI: 10.21046/2070-7401-2023-20-6-313-325.
  8. Pashinov E. V., Lozin D. V., Vturin S. A., Kobets D. A., First results of greenhouse gas balance calculation for the regions of Russia based on the balance technique, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 6, pp. 398–403 (in Russian), DOI: 10.21046/2070-7401-2024-21-6-398-403.
  9. Anandan P., A computational framework and an algorithm for the measurement of visual motion, Intern. J. Computer Vision, 1989, V. 2, No. 3, pp. 283–310.
  10. Ermakov D., Satellite radiothermovision of atmospheric processes: Method and applications, Cham: Springer, 2021, 199 p., https://doi.org/10.1007/978-3-030-57085-9.
  11. Ermakov D., Kuzmin A., Pashinov E. et al., Comparison of vertically integrated fluxes of atmospheric water vapor according to satellite radiothermovision, radiosondes, and reanalysis, Remote Sensing, 2021, V. 13, Iss. 9, Article 1639, https://doi.org/10.3390/rs13091639.
  12. Nerushev A. F., Kramchaninova E. K., Method for determining atmospheric motion characteristics using measurements on geostationary meteorological satellites, Izvestiya, Atmospheric and Oceanic Physics, 2011, V. 47, No. 9, pp. 1104–1113.
  13. Randerson J. T., Chen Y., van der Werf G. R. et al., Global burned area and biomass burning emissions from small fires, J. Geophysical Research: Biogeosciences, 2012, V. 117, Iss. G4, Article G04012, https:// doi.org/10.1029/2012JG002128.
  14. Seiler W., Crutzen P. J., Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning, Climatic Change, 1980, V. 2(3), pp. 207–247, https://doi.org/10.1007/BF00137988.
  15. van der Werf G. R., Randerson J. T., Giglio L. et al., Global fire emissions estimates during 1997–2016, Earth System Science Data, 2017, V. 9, Iss. 2, pp. 697–720, https://doi.org/10.5194/essd-9-697-2017.
  16. Velden C. S., Hayden C. M., Nieman S. J., Menzel W. P., Wanzong S., Goerss J. S., Upper-tropospheric winds derived from geostationary satellite water vapor observations, Bull. American Meteorological Soc., 1997, V. 78, No. 2, pp. 173–195.